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文章摘要
基于小波自适应阈值滤波的VMD降噪方法
Research on denoising method based on variational mode decomposition and wavelet adaptive threshold filter
Received:June 01, 2017  Revised:June 01, 2017
DOI:
中文关键词: 可变分模式分解(VMD)  小波变换  自适应阈值
英文关键词: variable mode decomposition (VMD)  wavelet transfer  adaptive threshold
基金项目:国家自然科学基金项目( 51477040);河北省自然科学基金(E2015202263);河北省高等学校科学技术研究项目(QN20151111)
Author NameAffiliationE-mail
Tang Sheng Xue* Hebei University of Technology 35762187@qq.com 
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中文摘要:
      本文提出了一种基于小波自适应阈值滤波的可变分模式分解(VMD)降噪方法。该方法降噪过程为:先将含噪声信号进行VMD分解,进而将VMD分解分量中含大部分噪声的高频模态分量进行小波自适应阈值滤波降噪,滤波降噪后的分量与其他模态分量重构降噪信号。三个实例表明:所提方法能有效减低信号噪声,适应性广。 关键字:可变分模式分解(VMD);小波变换; 自适应阈值
英文摘要:
      A new de-noising method integrated with variational mode decomposition (VMD) and wavelet adaptive threshold algorithm is presented in this paper. The method of the de-noising process is as follows: firstly, the noise signal is decomposed by VMD, and then the noises contained in the high frequency modal components in the VMD decomposition components are reduced with the wavelet adaptive threshold filtering. The components of de-noising are reconstructed with other modal components. Three examples show that the proposed method can effectively reduce the signal noise and has wide adaptability.
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